Tabular Datasets where Deep neural networks outperforms XGBoost
In my opinion, no.
Also images could be interpreted as tabular dataset as well, where certain columns represent different rgb codes of pixels. If you seek to use neural nets opt for image datasets, with large sample size.
Neural networks generally require large sample sizes to perform, and huge dimension inputs to not be outperformed by boosting.